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Total
18 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2022-42324 | 3 Debian, Fedoraproject, Xen | 3 Debian Linux, Fedora, Xen | 2023-08-08 | N/A | 5.5 MEDIUM |
| Oxenstored 32->31 bit integer truncation issues Integers in Ocaml are 63 or 31 bits of signed precision. The Ocaml Xenbus library takes a C uint32_t out of the ring and casts it directly to an Ocaml integer. In 64-bit Ocaml builds this is fine, but in 32-bit builds, it truncates off the most significant bit, and then creates unsigned/signed confusion in the remainder. This in turn can feed a negative value into logic not expecting a negative value, resulting in unexpected exceptions being thrown. The unexpected exception is not handled suitably, creating a busy-loop trying (and failing) to take the bad packet out of the xenstore ring. | |||||
| CVE-2021-0964 | 1 Google | 1 Android | 2023-08-08 | 7.1 HIGH | 6.5 MEDIUM |
| In C2SoftMP3::process() of C2SoftMp3Dec.cpp, there is a possible out of bounds write due to a heap buffer overflow. This could lead to remote information disclosure with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-9Android ID: A-193363621 | |||||
| CVE-2014-125012 | 1 Ffmpeg | 1 Ffmpeg | 2022-06-27 | 4.3 MEDIUM | 5.5 MEDIUM |
| A vulnerability was found in FFmpeg 2.0. It has been classified as problematic. Affected is an unknown function of the file libavcodec/dxtroy.c. The manipulation leads to integer coercion error. It is possible to launch the attack remotely. It is recommended to apply a patch to fix this issue. | |||||
| CVE-2020-28588 | 1 Linux | 1 Linux Kernel | 2022-06-07 | 2.1 LOW | 5.5 MEDIUM |
| An information disclosure vulnerability exists in the /proc/pid/syscall functionality of Linux Kernel 5.1 Stable and 5.4.66. More specifically, this issue has been introduced in v5.1-rc4 (commit 631b7abacd02b88f4b0795c08b54ad4fc3e7c7c0) and is still present in v5.10-rc4, so it’s likely that all versions in between are affected. An attacker can read /proc/pid/syscall to trigger this vulnerability, which leads to the kernel leaking memory contents. | |||||
| CVE-2020-4032 | 4 Canonical, Fedoraproject, Freerdp and 1 more | 4 Ubuntu Linux, Fedora, Freerdp and 1 more | 2022-06-01 | 4.3 MEDIUM | 4.3 MEDIUM |
| In FreeRDP before version 2.1.2, there is an integer casting vulnerability in update_recv_secondary_order. All clients with +glyph-cache /relax-order-checks are affected. This is fixed in version 2.1.2. | |||||
| CVE-2020-15225 | 2 Django-filter Project, Fedoraproject | 2 Django-filter, Fedora | 2021-11-30 | 4.0 MEDIUM | 6.5 MEDIUM |
| django-filter is a generic system for filtering Django QuerySets based on user selections. In django-filter before version 2.4.0, automatically generated `NumberFilter` instances, whose value was later converted to an integer, were subject to potential DoS from maliciously input using exponential format with sufficiently large exponents. Version 2.4.0+ applies a `MaxValueValidator` with a a default `limit_value` of 1e50 to the form field used by `NumberFilter` instances. In addition, `NumberFilter` implements the new `get_max_validator()` which should return a configured validator instance to customise the limit, or else `None` to disable the additional validation. Users may manually apply an equivalent validator if they are not able to upgrade. | |||||
| CVE-2021-41202 | 1 Google | 1 Tensorflow | 2021-11-09 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37669 | 1 Google | 1 Tensorflow | 2021-08-19 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37661 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in `boosted_trees_create_quantile_stream_resource` by using negative arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantile_ops.cc#L96) does not validate that `num_streams` only contains non-negative numbers. In turn, [this results in using this value to allocate memory](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantiles/quantile_stream_resource.h#L31-L40). However, `reserve` receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. This results in a crash from the standard library. We have patched the issue in GitHub commit 8a84f7a2b5a2b27ecf88d25bad9ac777cd2f7992. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37646 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range. | |||||
| CVE-2021-37645 | 1 Google | 1 Tensorflow | 2021-08-18 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L126) uses the `axis` value as the size argument to `absl::InlinedVector` constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit 96f364a1ca3009f98980021c4b32be5fdcca33a1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, and TensorFlow 2.4.3, as these are also affected and still in supported range. | |||||
| CVE-2021-29539 | 1 Google | 1 Tensorflow | 2021-07-27 | 2.1 LOW | 5.5 MEDIUM |
| TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument. | |||||
| CVE-2019-10203 | 2 Linux, Powerdns | 2 Linux Kernel, Authoritative Server | 2020-12-04 | 4.0 MEDIUM | 4.3 MEDIUM |
| PowerDNS Authoritative daemon , pdns versions 4.0.x before 4.0.9, 4.1.x before 4.1.11, exiting when encountering a serial between 2^31 and 2^32-1 while trying to notify a slave leads to DoS. | |||||
| CVE-2017-12140 | 1 Imagemagick | 1 Imagemagick | 2020-09-08 | 7.1 HIGH | 6.5 MEDIUM |
| The ReadDCMImage function in coders\dcm.c in ImageMagick 7.0.6-1 has an integer signedness error leading to excessive memory consumption via a crafted DCM file. | |||||
| CVE-2019-19958 | 1 Mz-automation | 1 Libiec61850 | 2020-08-24 | 4.3 MEDIUM | 6.5 MEDIUM |
| In libIEC61850 1.4.0, StringUtils_createStringFromBuffer in common/string_utilities.c has an integer signedness issue that could lead to an attempted excessive memory allocation and denial of service. | |||||
| CVE-2018-5711 | 3 Canonical, Debian, Php | 3 Ubuntu Linux, Debian Linux, Php | 2019-10-03 | 4.3 MEDIUM | 5.5 MEDIUM |
| gd_gif_in.c in the GD Graphics Library (aka libgd), as used in PHP before 5.6.33, 7.0.x before 7.0.27, 7.1.x before 7.1.13, and 7.2.x before 7.2.1, has an integer signedness error that leads to an infinite loop via a crafted GIF file, as demonstrated by a call to the imagecreatefromgif or imagecreatefromstring PHP function. This is related to GetCode_ and gdImageCreateFromGifCtx. | |||||
| CVE-2018-5251 | 2 Debian, Libming | 2 Debian Linux, Libming | 2019-10-03 | 4.3 MEDIUM | 6.5 MEDIUM |
| In libming 0.4.8, there is an integer signedness error vulnerability (left shift of a negative value) in the readSBits function (util/read.c). Remote attackers can leverage this vulnerability to cause a denial of service via a crafted swf file. | |||||
| CVE-2017-17446 | 1 Game-music-emu Project | 1 Game-music-emu | 2019-10-03 | 4.3 MEDIUM | 6.5 MEDIUM |
| The Mem_File_Reader::read_avail function in Data_Reader.cpp in the Game_Music_Emu library (aka game-music-emu) 0.6.1 does not ensure a non-negative size, which allows remote attackers to cause a denial of service (application crash) via a crafted file. | |||||